Triple

T3527580
Position Surface form Disambiguated ID Type / Status
Subject Mehringdamm E74577 entity
Predicate servedByLine P1293 FINISHED
Object U7
U7 is a line of the Berlin U-Bahn rapid transit system, running in an east–west direction across the city.
E365989 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: U7 | Statement: [Mehringdamm, servedByLine, U7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U7
Context triple: [Mehringdamm, servedByLine, U7]
  • A. U9
    U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
  • B. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • C. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • D. U-17
    U-17 is a youth football age category for players under 17 years old, commonly used in international and domestic competitions.
  • E. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: U7
Triple: [Mehringdamm, servedByLine, U7]
Generated description
U7 is a line of the Berlin U-Bahn rapid transit system, running in an east–west direction across the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: U7
Target entity description: U7 is a line of the Berlin U-Bahn rapid transit system, running in an east–west direction across the city.
  • A. U9
    U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
  • B. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • C. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • D. U-17
    U-17 is a youth football age category for players under 17 years old, commonly used in international and domestic competitions.
  • E. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6d099c8190b2b1e65a56e52089 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e90e67c81909944bb81d89e039b completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f837d1481908b2773785ca74375 completed March 13, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_69b38329637881908ae4dfa8bb201f9a completed March 13, 2026, 3:23 a.m.
Created at: March 8, 2026, 3:19 p.m.